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Spectral techniques for roughness estimation.

Roughness is a relatively untouched field considering its significance
to natural scientists. In this thesis mathematical techniques for
measuring the roughness of signals are constructed and investigated.
Both one dimensional and two dimensional signals are tackled.
Applications include geological profiles and biological surfaces.
Mathematical techniques include Fourier and Wavelet Transforms. / Thesis (M.Sc.)-University of Natal, Durban, 2001.

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/4697
Date January 2001
CreatorsLewis, Mark.
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis

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